AI Skill Optimizer (EN)v1.1.0-en2

A CTO needs to optimize an existing AI skill that processes PDF invoices, reducing token usage and latency. The optimizer performs baseline measurement, token optimization, and performance tuning to meet quarterly efficiency targets.

After a security patch, the CISO uses the optimizer to re-harden an AI skill, ensuring no new vulnerabilities are introduced. The tool runs STRIDE-based analysis and requires CISO-001 authorization for security tasks.

A quality officer integrates the optimizer into a CI/CD pipeline to automatically run baseline and compare tasks before and after code changes. If a regression is detected, the optimizer rejects the deployment and triggers rollback.

A development team wants to refactor a legacy AI skill to improve all dimensions. They invoke the full-optimize task with dimensions [token, performance, security, quality] to get a unified improvement plan with measurable metrics.

Offer the skill optimizer as a monthly subscription to enterprises, providing regular optimization reports and automated security hardening for their AI skills. Revenue comes from tiered pricing based on the number of skills managed.

Provide a one-time comprehensive audit and optimization service for companies with legacy AI skills. Deliver a detailed baseline report and implement improvements, charging a fixed project fee.

Allow users to run the baseline task for free on a limited number of skills, then charge per optimization task (token, performance, security, quality). Upsell full-optimize packages.